Update app.py

app.py

@@ -149,13 +149,15 @@ st.markdown(
 st.markdown(
     """The app supports extractive summarization which aims to identify the salient information that is then extracted and grouped together to form a concise summary. 
     For documents or text that is more than 500 words long, the app will divide the text into chunks and summarize each chunk.
-    There are two models available to choose from:
+    There are two models available to choose from:""")
+
+st.markdwon("""   
     - Facebook-Bart, trained on large [CNN and Daily Mail](https://huggingface.co/datasets/cnn_dailymail) news articles.
-    - Sshleifer-Distilbart, which is a distilled (smaller) version of the large Bart model.
-     
-    Please do note that the model will take longer to generate summaries for documents that are too long""", unsafe_allow_html=True
+    - Sshleifer-Distilbart, which is a distilled (smaller) version of the large Bart model."""
 )
 
+st.markdown("""Please do note that the model will take longer to generate summaries for documents that are too long""")
+
 st.markdown(
     "The app only ingests the below formats for summarization task:"
 )